CINA-VCF

Avicenna.AI
CINA-VCF is a triage and notification software indicated to detect unsuspected vertebral compression fracture findings in patients undergoing CT scans, for any clinical indication, which include the chest and/or abdomen.
Information source: Vendor
Last updated: March 12, 2025

General Information

General
Product name CINA-VCF
Company Avicenna.AI
Subspeciality MSK
Modality CT
Disease targeted Vertebral compression fracture
Key-features Vertebral compression fracture detection
Suggested use Before: flagging acute findings

Technical Specifications

Data characteristics
Population Adults aged 50 years
Input Abdominal or Chest CT, with or without contrast
Input format DICOM
Output Triage and prioritization of positive suspected findings for vertebral compression fracture
Output format DICOM SC
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time 10 - 60 seconds

Regulatory

Certification
CE
No or not yet,
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since 06-2024
Distribution channels Blackford, Sectra, AGFA
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes) 5
Pricing
Pricing model Subscription
Based on Number of users, Number of installations

Evidence

Evidence
Peer reviewed papers on performance

  • Validation of a deep learning tool for detection of incidental vertebral compression fractures (read)

Non-peer reviewed papers on performance

  • ECR 2024 Poster: Performance evaluation of an AI-based application for opportunistic screening of thoraco-lumbar vertebral compression fracture(read)

Other relevant papers